Overview

Brought to you by YData

Dataset statistics

Number of variables13
Number of observations56252
Missing cells43345
Missing cells (%)5.9%
Duplicate rows10026
Duplicate rows (%)17.8%
Total size in memory5.6 MiB
Average record size in memory104.0 B

Variable types

Text13

Alerts

Dataset has 10026 (17.8%) duplicate rowsDuplicates
rate has 7838 (13.9%) missing values Missing
phone has 1296 (2.3%) missing values Missing
dish_liked has 28225 (50.2%) missing values Missing
listed_in(type) has 4610 (8.2%) missing values Missing

Reproduction

Analysis started2025-06-02 15:18:21.312632
Analysis finished2025-06-02 15:18:28.145071
Duration6.83 seconds
Software versionydata-profiling vv4.16.1
Download configurationconfig.json

Variables

address
Text

Distinct13397
Distinct (%)23.8%
Missing17
Missing (%)< 0.1%
Memory size439.6 KiB
2025-06-02T20:48:28.503654image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length8931
Median length1052
Mean length68.673157
Min length2

Characters and Unicode

Total characters3861835
Distinct characters120
Distinct categories17 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3624 ?
Unique (%)6.4%

Sample

1st row942, 21st Main Road, 2nd Stage, Banashankari, Bangalore
2nd row2nd Floor, 80 Feet Road, Near Big Bazaar, 6th Block, Kathriguppe, 3rd Stage, Banashankari, Bangalore
3rd row1112, Next to KIMS Medical College, 17th Cross, 2nd Stage, Banashankari, Bangalore
4th row1st Floor, Annakuteera, 3rd Stage, Banashankari, Bangalore
5th row10, 3rd Floor, Lakshmi Associates, Gandhi Bazaar Main Road, Above Reliance Trends, Basavanagudi, Bangalore
ValueCountFrequency (%)
bangalore 49256
 
8.8%
road 37168
 
6.7%
main 18223
 
3.3%
block 12598
 
2.3%
cross 11244
 
2.0%
1st 9143
 
1.6%
nagar 8840
 
1.6%
floor 8488
 
1.5%
koramangala 7973
 
1.4%
layout 7911
 
1.4%
Other values (14692) 386955
69.4%
2025-06-02T20:48:28.913405image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
506222
 
13.1%
a 438005
 
11.3%
o 229462
 
5.9%
, 222228
 
5.8%
e 201420
 
5.2%
r 200944
 
5.2%
n 182171
 
4.7%
l 164467
 
4.3%
t 138209
 
3.6%
i 117772
 
3.0%
Other values (110) 1460935
37.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2377880
61.6%
Space Separator 506222
 
13.1%
Uppercase Letter 495181
 
12.8%
Other Punctuation 264463
 
6.8%
Decimal Number 205753
 
5.3%
Open Punctuation 8020
 
0.2%
Dash Punctuation 2690
 
0.1%
Close Punctuation 1188
 
< 0.1%
Currency Symbol 159
 
< 0.1%
Other Symbol 111
 
< 0.1%
Other values (7) 168
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 438005
18.4%
o 229462
9.6%
e 201420
8.5%
r 200944
8.5%
n 182171
 
7.7%
l 164467
 
6.9%
t 138209
 
5.8%
i 117772
 
5.0%
g 103302
 
4.3%
d 102080
 
4.3%
Other values (18) 500048
21.0%
Uppercase Letter
ValueCountFrequency (%)
B 96704
19.5%
R 57384
11.6%
M 43928
 
8.9%
S 35794
 
7.2%
C 33997
 
6.9%
N 23709
 
4.8%
T 18208
 
3.7%
K 18019
 
3.6%
P 17009
 
3.4%
F 16774
 
3.4%
Other values (18) 133655
27.0%
Other Punctuation
ValueCountFrequency (%)
, 222228
84.0%
/ 11044
 
4.2%
\ 9804
 
3.7%
. 9668
 
3.7%
' 8710
 
3.3%
" 830
 
0.3%
& 774
 
0.3%
! 418
 
0.2%
# 408
 
0.2%
: 263
 
0.1%
Other values (8) 316
 
0.1%
Decimal Number
ValueCountFrequency (%)
1 44062
21.4%
2 30855
15.0%
3 21163
10.3%
4 19085
9.3%
8 18526
9.0%
0 17966
8.7%
5 17644
8.6%
6 13497
 
6.6%
7 13393
 
6.5%
9 9562
 
4.6%
Currency Symbol
ValueCountFrequency (%)
¢ 120
75.5%
¤ 16
 
10.1%
¥ 11
 
6.9%
£ 10
 
6.3%
$ 2
 
1.3%
Modifier Symbol
ValueCountFrequency (%)
¯ 38
45.2%
¸ 36
42.9%
´ 5
 
6.0%
¨ 4
 
4.8%
` 1
 
1.2%
Math Symbol
ValueCountFrequency (%)
+ 8
44.4%
> 6
33.3%
~ 2
 
11.1%
< 1
 
5.6%
¬ 1
 
5.6%
Other Number
ValueCountFrequency (%)
¼ 6
46.2%
² 3
23.1%
¹ 3
23.1%
½ 1
 
7.7%
Open Punctuation
ValueCountFrequency (%)
‚ 5281
65.8%
( 2694
33.6%
[ 45
 
0.6%
Other Symbol
ValueCountFrequency (%)
° 100
90.1%
© 9
 
8.1%
® 2
 
1.8%
Dash Punctuation
ValueCountFrequency (%)
- 2688
99.9%
– 2
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 1137
95.7%
] 51
 
4.3%
Final Punctuation
ValueCountFrequency (%)
’ 12
70.6%
» 5
29.4%
Other Letter
ValueCountFrequency (%)
º 10
90.9%
ª 1
 
9.1%
Space Separator
ValueCountFrequency (%)
506222
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 21
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2873071
74.4%
Common 988764
 
25.6%

Most frequent character per script

Common
ValueCountFrequency (%)
506222
51.2%
, 222228
22.5%
1 44062
 
4.5%
2 30855
 
3.1%
3 21163
 
2.1%
4 19085
 
1.9%
8 18526
 
1.9%
0 17966
 
1.8%
5 17644
 
1.8%
6 13497
 
1.4%
Other values (53) 77516
 
7.8%
Latin
ValueCountFrequency (%)
a 438005
15.2%
o 229462
 
8.0%
e 201420
 
7.0%
r 200944
 
7.0%
n 182171
 
6.3%
l 164467
 
5.7%
t 138209
 
4.8%
i 117772
 
4.1%
g 103302
 
3.6%
d 102080
 
3.6%
Other values (47) 995239
34.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3824383
99.0%
None 32153
 
0.8%
Punctuation 5299
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
506222
 
13.2%
a 438005
 
11.5%
o 229462
 
6.0%
, 222228
 
5.8%
e 201420
 
5.3%
r 200944
 
5.3%
n 182171
 
4.8%
l 164467
 
4.3%
t 138209
 
3.6%
i 117772
 
3.1%
Other values (80) 1423483
37.2%
None
ValueCountFrequency (%)
ƒ 13040
40.6%
à 9363
29.1%
 9363
29.1%
¢ 120
 
0.4%
° 100
 
0.3%
¯ 38
 
0.1%
¸ 36
 
0.1%
¤ 16
 
< 0.1%
¥ 11
 
< 0.1%
£ 10
 
< 0.1%
Other values (16) 56
 
0.2%
Punctuation
ValueCountFrequency (%)
‚ 5281
99.7%
’ 12
 
0.2%
‘ 4
 
0.1%
– 2
 
< 0.1%

name
Text

Distinct11914
Distinct (%)21.2%
Missing16
Missing (%)< 0.1%
Memory size439.6 KiB
2025-06-02T20:48:29.230744image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length3617
Median length1817
Mean length27.268476
Min length2

Characters and Unicode

Total characters1533470
Distinct characters122
Distinct categories17 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3879 ?
Unique (%)6.9%

Sample

1st rowJalsa
2nd rowSpice Elephant
3rd rowSan Churro Cafe
4th rowAddhuri Udupi Bhojana
5th rowGrand Village
ValueCountFrequency (%)
the 8710
 
3.7%
5521
 
2.4%
and 4343
 
1.9%
cafe 3633
 
1.5%
restaurant 3191
 
1.4%
food 2828
 
1.2%
a 2689
 
1.1%
rated\n 2449
 
1.0%
hotel 2108
 
0.9%
to 2078
 
0.9%
Other values (13782) 196973
84.0%
2025-06-02T20:48:29.679399image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
185347
 
12.1%
a 127005
 
8.3%
e 120239
 
7.8%
i 75449
 
4.9%
t 72141
 
4.7%
n 71729
 
4.7%
o 69315
 
4.5%
r 67920
 
4.4%
s 56553
 
3.7%
h 47020
 
3.1%
Other values (112) 640752
41.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1037415
67.7%
Uppercase Letter 205173
 
13.4%
Space Separator 185347
 
12.1%
Other Punctuation 50073
 
3.3%
Decimal Number 33593
 
2.2%
Open Punctuation 15049
 
1.0%
Dash Punctuation 3971
 
0.3%
Close Punctuation 1809
 
0.1%
Other Symbol 422
 
< 0.1%
Currency Symbol 279
 
< 0.1%
Other values (7) 339
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 127005
12.2%
e 120239
11.6%
i 75449
 
7.3%
t 72141
 
7.0%
n 71729
 
6.9%
o 69315
 
6.7%
r 67920
 
6.5%
s 56553
 
5.5%
h 47020
 
4.5%
l 41556
 
4.0%
Other values (18) 288488
27.8%
Uppercase Letter
ValueCountFrequency (%)
à 21442
 
10.5%
 21442
 
10.5%
C 15627
 
7.6%
B 14582
 
7.1%
T 14165
 
6.9%
S 13773
 
6.7%
R 11611
 
5.7%
A 9643
 
4.7%
D 8862
 
4.3%
M 8374
 
4.1%
Other values (18) 65652
32.0%
Other Punctuation
ValueCountFrequency (%)
\ 19690
39.3%
. 12418
24.8%
' 9707
19.4%
" 2555
 
5.1%
& 2007
 
4.0%
! 1294
 
2.6%
? 906
 
1.8%
/ 498
 
1.0%
: 393
 
0.8%
, 215
 
0.4%
Other values (9) 390
 
0.8%
Decimal Number
ValueCountFrequency (%)
8 13475
40.1%
2 7646
22.8%
3 6651
19.8%
0 1391
 
4.1%
5 1233
 
3.7%
9 1159
 
3.5%
4 849
 
2.5%
1 802
 
2.4%
7 273
 
0.8%
6 114
 
0.3%
Math Symbol
ValueCountFrequency (%)
+ 109
56.2%
= 26
 
13.4%
| 22
 
11.3%
> 20
 
10.3%
± 7
 
3.6%
~ 6
 
3.1%
¬ 3
 
1.5%
< 1
 
0.5%
Open Punctuation
ValueCountFrequency (%)
‚ 13949
92.7%
( 1088
 
7.2%
[ 8
 
0.1%
{ 4
 
< 0.1%
Modifier Symbol
ValueCountFrequency (%)
¸ 35
44.3%
¯ 34
43.0%
¨ 9
 
11.4%
` 1
 
1.3%
Other Number
ValueCountFrequency (%)
¼ 4
57.1%
½ 1
 
14.3%
³ 1
 
14.3%
¹ 1
 
14.3%
Close Punctuation
ValueCountFrequency (%)
) 1784
98.6%
] 21
 
1.2%
} 4
 
0.2%
Currency Symbol
ValueCountFrequency (%)
¢ 250
89.6%
¤ 19
 
6.8%
¥ 10
 
3.6%
Other Symbol
ValueCountFrequency (%)
© 239
56.6%
° 182
43.1%
® 1
 
0.2%
Other Letter
ValueCountFrequency (%)
ª 12
50.0%
º 12
50.0%
Final Punctuation
ValueCountFrequency (%)
» 11
64.7%
’ 6
35.3%
Space Separator
ValueCountFrequency (%)
185347
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3971
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 17
100.0%
Initial Punctuation
ValueCountFrequency (%)
« 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1242611
81.0%
Common 290859
 
19.0%

Most frequent character per script

Common
ValueCountFrequency (%)
185347
63.7%
\ 19690
 
6.8%
‚ 13949
 
4.8%
8 13475
 
4.6%
. 12418
 
4.3%
' 9707
 
3.3%
2 7646
 
2.6%
3 6651
 
2.3%
- 3971
 
1.4%
" 2555
 
0.9%
Other values (55) 15450
 
5.3%
Latin
ValueCountFrequency (%)
a 127005
 
10.2%
e 120239
 
9.7%
i 75449
 
6.1%
t 72141
 
5.8%
n 71729
 
5.8%
o 69315
 
5.6%
r 67920
 
5.5%
s 56553
 
4.6%
h 47020
 
3.8%
l 41556
 
3.3%
Other values (47) 493684
39.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1447702
94.4%
None 71813
 
4.7%
Punctuation 13955
 
0.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
185347
 
12.8%
a 127005
 
8.8%
e 120239
 
8.3%
i 75449
 
5.2%
t 72141
 
5.0%
n 71729
 
5.0%
o 69315
 
4.8%
r 67920
 
4.7%
s 56553
 
3.9%
h 47020
 
3.2%
Other values (83) 554984
38.3%
None
ValueCountFrequency (%)
ƒ 28092
39.1%
à 21442
29.9%
 21442
29.9%
¢ 250
 
0.3%
© 239
 
0.3%
° 182
 
0.3%
¸ 35
 
< 0.1%
¯ 34
 
< 0.1%
¤ 19
 
< 0.1%
ª 12
 
< 0.1%
Other values (17) 66
 
0.1%
Punctuation
ValueCountFrequency (%)
‚ 13949
> 99.9%
’ 6
 
< 0.1%

online_order
Text

Distinct2639
Distinct (%)4.7%
Missing19
Missing (%)< 0.1%
Memory size439.6 KiB
2025-06-02T20:48:29.903714image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length2929
Median length3
Mean length11.007985
Min length2

Characters and Unicode

Total characters619012
Distinct characters112
Distinct categories15 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2376 ?
Unique (%)4.2%

Sample

1st rowYes
2nd rowYes
3rd rowYes
4th rowNo
5th rowNo
ValueCountFrequency (%)
yes 30456
24.8%
no 21381
 
17.4%
the 3281
 
2.7%
and 2377
 
1.9%
a 1608
 
1.3%
rated 1478
 
1.2%
was 1335
 
1.1%
is 1331
 
1.1%
to 1310
 
1.1%
of 935
 
0.8%
Other values (7265) 57278
46.7%
2025-06-02T20:48:30.269557image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
71883
 
11.6%
e 69163
 
11.2%
s 47834
 
7.7%
o 43758
 
7.1%
Y 30531
 
4.9%
a 27809
 
4.5%
t 25446
 
4.1%
N 21606
 
3.5%
n 20962
 
3.4%
i 20756
 
3.4%
Other values (102) 239264
38.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 402452
65.0%
Uppercase Letter 86435
 
14.0%
Space Separator 71883
 
11.6%
Other Punctuation 29121
 
4.7%
Decimal Number 20583
 
3.3%
Open Punctuation 6242
 
1.0%
Close Punctuation 1395
 
0.2%
Dash Punctuation 545
 
0.1%
Currency Symbol 144
 
< 0.1%
Other Symbol 136
 
< 0.1%
Other values (5) 76
 
< 0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
Y 30531
35.3%
N 21606
25.0%
à 8825
 
10.2%
 8825
 
10.2%
R 2637
 
3.1%
T 2484
 
2.9%
A 1596
 
1.8%
I 1426
 
1.6%
D 1142
 
1.3%
E 1071
 
1.2%
Other values (18) 6292
 
7.3%
Lowercase Letter
ValueCountFrequency (%)
e 69163
17.2%
s 47834
11.9%
o 43758
10.9%
a 27809
 
6.9%
t 25446
 
6.3%
n 20962
 
5.2%
i 20756
 
5.2%
r 16938
 
4.2%
h 14167
 
3.5%
d 14089
 
3.5%
Other values (17) 101530
25.2%
Other Punctuation
ValueCountFrequency (%)
\ 11650
40.0%
. 8404
28.9%
' 5374
18.5%
" 1339
 
4.6%
? 747
 
2.6%
! 585
 
2.0%
: 325
 
1.1%
/ 314
 
1.1%
, 249
 
0.9%
& 75
 
0.3%
Other values (7) 59
 
0.2%
Decimal Number
ValueCountFrequency (%)
8 7812
38.0%
2 4315
21.0%
3 3950
19.2%
0 1638
 
8.0%
5 1071
 
5.2%
4 782
 
3.8%
9 555
 
2.7%
1 381
 
1.9%
6 42
 
0.2%
7 37
 
0.2%
Math Symbol
ValueCountFrequency (%)
+ 12
48.0%
= 8
32.0%
± 2
 
8.0%
> 2
 
8.0%
¬ 1
 
4.0%
Modifier Symbol
ValueCountFrequency (%)
¯ 10
40.0%
¸ 6
24.0%
¨ 4
 
16.0%
^ 4
 
16.0%
` 1
 
4.0%
Other Number
ValueCountFrequency (%)
¾ 6
42.9%
¹ 3
21.4%
½ 3
21.4%
² 1
 
7.1%
¼ 1
 
7.1%
Open Punctuation
ValueCountFrequency (%)
‚ 4576
73.3%
( 1632
 
26.1%
[ 34
 
0.5%
Other Symbol
ValueCountFrequency (%)
° 125
91.9%
© 9
 
6.6%
¦ 2
 
1.5%
Currency Symbol
ValueCountFrequency (%)
¢ 122
84.7%
¤ 17
 
11.8%
¥ 5
 
3.5%
Close Punctuation
ValueCountFrequency (%)
) 1350
96.8%
] 45
 
3.2%
Space Separator
ValueCountFrequency (%)
71883
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 545
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 7
100.0%
Final Punctuation
ValueCountFrequency (%)
» 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 488887
79.0%
Common 130125
 
21.0%

Most frequent character per script

Common
ValueCountFrequency (%)
71883
55.2%
\ 11650
 
9.0%
. 8404
 
6.5%
8 7812
 
6.0%
' 5374
 
4.1%
‚ 4576
 
3.5%
2 4315
 
3.3%
3 3950
 
3.0%
0 1638
 
1.3%
( 1632
 
1.3%
Other values (47) 8891
 
6.8%
Latin
ValueCountFrequency (%)
e 69163
14.1%
s 47834
 
9.8%
o 43758
 
9.0%
Y 30531
 
6.2%
a 27809
 
5.7%
t 25446
 
5.2%
N 21606
 
4.4%
n 20962
 
4.3%
i 20756
 
4.2%
r 16938
 
3.5%
Other values (45) 164084
33.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 583712
94.3%
None 30724
 
5.0%
Punctuation 4576
 
0.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
71883
 
12.3%
e 69163
 
11.8%
s 47834
 
8.2%
o 43758
 
7.5%
Y 30531
 
5.2%
a 27809
 
4.8%
t 25446
 
4.4%
N 21606
 
3.7%
n 20962
 
3.6%
i 20756
 
3.6%
Other values (79) 203964
34.9%
None
ValueCountFrequency (%)
ƒ 12749
41.5%
à 8825
28.7%
 8825
28.7%
° 125
 
0.4%
¢ 122
 
0.4%
¤ 17
 
0.1%
¯ 10
 
< 0.1%
© 9
 
< 0.1%
¾ 6
 
< 0.1%
¸ 6
 
< 0.1%
Other values (12) 30
 
0.1%
Punctuation
ValueCountFrequency (%)
‚ 4576
100.0%

book_table
Text

Distinct2902
Distinct (%)5.2%
Missing58
Missing (%)0.1%
Memory size439.6 KiB
2025-06-02T20:48:30.563896image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length4164
Median length2
Mean length11.571253
Min length1

Characters and Unicode

Total characters650235
Distinct characters112
Distinct categories16 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2621 ?
Unique (%)4.7%

Sample

1st rowYes
2nd rowNo
3rd rowNo
4th rowNo
5th rowNo
ValueCountFrequency (%)
no 45384
34.3%
yes 6462
 
4.9%
the 3650
 
2.8%
and 2778
 
2.1%
a 1833
 
1.4%
is 1577
 
1.2%
was 1551
 
1.2%
to 1527
 
1.2%
rated\n 1472
 
1.1%
of 1118
 
0.8%
Other values (7750) 65054
49.1%
2025-06-02T20:48:31.010669image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
82225
 
12.6%
o 70853
 
10.9%
e 50346
 
7.7%
N 45665
 
7.0%
a 31198
 
4.8%
t 28704
 
4.4%
s 26596
 
4.1%
n 24299
 
3.7%
i 23444
 
3.6%
r 19876
 
3.1%
Other values (102) 247029
38.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 419209
64.5%
Uppercase Letter 90297
 
13.9%
Space Separator 82225
 
12.6%
Other Punctuation 30634
 
4.7%
Decimal Number 19636
 
3.0%
Open Punctuation 5739
 
0.9%
Close Punctuation 1562
 
0.2%
Dash Punctuation 571
 
0.1%
Currency Symbol 152
 
< 0.1%
Other Symbol 132
 
< 0.1%
Other values (6) 78
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 70853
16.9%
e 50346
12.0%
a 31198
 
7.4%
t 28704
 
6.8%
s 26596
 
6.3%
n 24299
 
5.8%
i 23444
 
5.6%
r 19876
 
4.7%
h 15853
 
3.8%
d 15790
 
3.8%
Other values (18) 112250
26.8%
Uppercase Letter
ValueCountFrequency (%)
N 45665
50.6%
à 8555
 
9.5%
 8555
 
9.5%
Y 6553
 
7.3%
T 3364
 
3.7%
R 2888
 
3.2%
A 2377
 
2.6%
D 1840
 
2.0%
I 1776
 
2.0%
E 1738
 
1.9%
Other values (18) 6986
 
7.7%
Other Punctuation
ValueCountFrequency (%)
\ 12177
39.7%
. 9421
30.8%
' 5183
16.9%
" 1683
 
5.5%
! 687
 
2.2%
/ 470
 
1.5%
: 348
 
1.1%
? 245
 
0.8%
, 209
 
0.7%
& 90
 
0.3%
Other values (6) 121
 
0.4%
Decimal Number
ValueCountFrequency (%)
8 7534
38.4%
2 4144
21.1%
3 3849
19.6%
0 1319
 
6.7%
5 1112
 
5.7%
4 716
 
3.6%
9 558
 
2.8%
1 321
 
1.6%
6 47
 
0.2%
7 36
 
0.2%
Modifier Symbol
ValueCountFrequency (%)
¸ 13
46.4%
¯ 9
32.1%
¨ 3
 
10.7%
´ 2
 
7.1%
` 1
 
3.6%
Other Symbol
ValueCountFrequency (%)
° 125
94.7%
© 4
 
3.0%
¦ 2
 
1.5%
® 1
 
0.8%
Math Symbol
ValueCountFrequency (%)
+ 16
72.7%
± 4
 
18.2%
> 1
 
4.5%
~ 1
 
4.5%
Open Punctuation
ValueCountFrequency (%)
‚ 4452
77.6%
( 1272
 
22.2%
[ 15
 
0.3%
Currency Symbol
ValueCountFrequency (%)
¢ 121
79.6%
¤ 28
 
18.4%
¥ 3
 
2.0%
Other Number
ValueCountFrequency (%)
¹ 6
54.5%
¾ 3
27.3%
¼ 2
 
18.2%
Close Punctuation
ValueCountFrequency (%)
) 1532
98.1%
] 30
 
1.9%
Other Letter
ValueCountFrequency (%)
ª 3
60.0%
º 2
40.0%
Space Separator
ValueCountFrequency (%)
82225
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 571
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 9
100.0%
Final Punctuation
ValueCountFrequency (%)
» 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 509510
78.4%
Common 140725
 
21.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 70853
13.9%
e 50346
 
9.9%
N 45665
 
9.0%
a 31198
 
6.1%
t 28704
 
5.6%
s 26596
 
5.2%
n 24299
 
4.8%
i 23444
 
4.6%
r 19876
 
3.9%
h 15853
 
3.1%
Other values (47) 172676
33.9%
Common
ValueCountFrequency (%)
82225
58.4%
\ 12177
 
8.7%
. 9421
 
6.7%
8 7534
 
5.4%
' 5183
 
3.7%
‚ 4452
 
3.2%
2 4144
 
2.9%
3 3849
 
2.7%
" 1683
 
1.2%
) 1532
 
1.1%
Other values (45) 8525
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 616015
94.7%
None 29768
 
4.6%
Punctuation 4452
 
0.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
82225
 
13.3%
o 70853
 
11.5%
e 50346
 
8.2%
N 45665
 
7.4%
a 31198
 
5.1%
t 28704
 
4.7%
s 26596
 
4.3%
n 24299
 
3.9%
i 23444
 
3.8%
r 19876
 
3.2%
Other values (78) 212809
34.5%
None
ValueCountFrequency (%)
ƒ 12322
41.4%
à 8555
28.7%
 8555
28.7%
° 125
 
0.4%
¢ 121
 
0.4%
¤ 28
 
0.1%
¸ 13
 
< 0.1%
¯ 9
 
< 0.1%
¹ 6
 
< 0.1%
© 4
 
< 0.1%
Other values (13) 30
 
0.1%
Punctuation
ValueCountFrequency (%)
‚ 4452
100.0%

rate
Text

Missing 

Distinct2877
Distinct (%)5.9%
Missing7838
Missing (%)13.9%
Memory size439.6 KiB
2025-06-02T20:48:31.245031image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length4887
Median length3189
Mean length15.704362
Min length1

Characters and Unicode

Total characters760311
Distinct characters109
Distinct categories16 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2536 ?
Unique (%)5.2%

Sample

1st row4.1/5
2nd row4.1/5
3rd row3.8/5
4th row3.7/5
5th row3.8/5
ValueCountFrequency (%)
5 20410
 
14.4%
the 3463
 
2.4%
and 2722
 
1.9%
new 2242
 
1.6%
3.9/5 2098
 
1.5%
3.8/5 2022
 
1.4%
3.7/5 2011
 
1.4%
4.0 1997
 
1.4%
3.9 1874
 
1.3%
3.8 1851
 
1.3%
Other values (7730) 101449
71.4%
2025-06-02T20:48:31.620935image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
99336
 
13.1%
. 50373
 
6.6%
5 46186
 
6.1%
e 42712
 
5.6%
/ 42003
 
5.5%
3 34971
 
4.6%
a 30584
 
4.0%
t 28003
 
3.7%
o 24907
 
3.3%
n 22678
 
3.0%
Other values (99) 338558
44.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 351067
46.2%
Decimal Number 144859
19.1%
Other Punctuation 112870
 
14.8%
Space Separator 99336
 
13.1%
Uppercase Letter 43769
 
5.8%
Open Punctuation 6033
 
0.8%
Close Punctuation 1393
 
0.2%
Dash Punctuation 575
 
0.1%
Currency Symbol 156
 
< 0.1%
Other Symbol 148
 
< 0.1%
Other values (6) 105
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 42712
 
12.2%
a 30584
 
8.7%
t 28003
 
8.0%
o 24907
 
7.1%
n 22678
 
6.5%
i 22645
 
6.5%
s 19635
 
5.6%
r 19084
 
5.4%
h 15263
 
4.3%
d 15115
 
4.3%
Other values (18) 110441
31.5%
Uppercase Letter
ValueCountFrequency (%)
à 8873
20.3%
 8873
20.3%
E 3630
8.3%
T 2883
 
6.6%
W 2858
 
6.5%
R 2702
 
6.2%
N 2616
 
6.0%
A 2024
 
4.6%
I 1652
 
3.8%
D 1407
 
3.2%
Other values (18) 6251
14.3%
Other Punctuation
ValueCountFrequency (%)
. 50373
44.6%
/ 42003
37.2%
\ 11938
 
10.6%
' 5286
 
4.7%
" 1457
 
1.3%
! 650
 
0.6%
? 370
 
0.3%
, 346
 
0.3%
: 282
 
0.2%
& 76
 
0.1%
Other values (6) 89
 
0.1%
Decimal Number
ValueCountFrequency (%)
5 46186
31.9%
3 34971
24.1%
4 16783
 
11.6%
8 12350
 
8.5%
2 10579
 
7.3%
0 5563
 
3.8%
9 5360
 
3.7%
1 4850
 
3.3%
7 4315
 
3.0%
6 3902
 
2.7%
Math Symbol
ValueCountFrequency (%)
+ 19
50.0%
~ 6
 
15.8%
| 6
 
15.8%
± 5
 
13.2%
¬ 2
 
5.3%
Open Punctuation
ValueCountFrequency (%)
‚ 4621
76.6%
( 1384
 
22.9%
[ 28
 
0.5%
Other Symbol
ValueCountFrequency (%)
° 138
93.2%
© 6
 
4.1%
¦ 4
 
2.7%
Currency Symbol
ValueCountFrequency (%)
¢ 111
71.2%
¤ 34
 
21.8%
¥ 11
 
7.1%
Modifier Symbol
ValueCountFrequency (%)
¯ 22
47.8%
¸ 22
47.8%
^ 2
 
4.3%
Other Number
ValueCountFrequency (%)
¹ 3
60.0%
¾ 1
 
20.0%
² 1
 
20.0%
Close Punctuation
ValueCountFrequency (%)
) 1358
97.5%
] 35
 
2.5%
Space Separator
ValueCountFrequency (%)
99336
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 575
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 10
100.0%
Final Punctuation
ValueCountFrequency (%)
» 5
100.0%
Other Letter
ValueCountFrequency (%)
º 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 394835
51.9%
Common 365476
48.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 42712
 
10.8%
a 30584
 
7.7%
t 28003
 
7.1%
o 24907
 
6.3%
n 22678
 
5.7%
i 22645
 
5.7%
s 19635
 
5.0%
r 19084
 
4.8%
h 15263
 
3.9%
d 15115
 
3.8%
Other values (46) 154209
39.1%
Common
ValueCountFrequency (%)
99336
27.2%
. 50373
13.8%
5 46186
12.6%
/ 42003
11.5%
3 34971
 
9.6%
4 16783
 
4.6%
8 12350
 
3.4%
\ 11938
 
3.3%
2 10579
 
2.9%
0 5563
 
1.5%
Other values (43) 35394
 
9.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 724819
95.3%
None 30871
 
4.1%
Punctuation 4621
 
0.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
99336
 
13.7%
. 50373
 
6.9%
5 46186
 
6.4%
e 42712
 
5.9%
/ 42003
 
5.8%
3 34971
 
4.8%
a 30584
 
4.2%
t 28003
 
3.9%
o 24907
 
3.4%
n 22678
 
3.1%
Other values (78) 303066
41.8%
None
ValueCountFrequency (%)
ƒ 12756
41.3%
à 8873
28.7%
 8873
28.7%
° 138
 
0.4%
¢ 111
 
0.4%
¤ 34
 
0.1%
¯ 22
 
0.1%
¸ 22
 
0.1%
¥ 11
 
< 0.1%
© 6
 
< 0.1%
Other values (10) 25
 
0.1%
Punctuation
ValueCountFrequency (%)
‚ 4621
100.0%

votes
Text

Distinct5195
Distinct (%)9.2%
Missing78
Missing (%)0.1%
Memory size439.6 KiB
2025-06-02T20:48:31.855987image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length5756
Median length5346
Mean length11.325773
Min length1

Characters and Unicode

Total characters636214
Distinct characters118
Distinct categories16 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3128 ?
Unique (%)5.6%

Sample

1st row775
2nd row787
3rd row918
4th row88
5th row166
ValueCountFrequency (%)
0 10029
 
7.7%
the 3698
 
2.8%
and 2648
 
2.0%
a 1707
 
1.3%
was 1547
 
1.2%
is 1509
 
1.2%
to 1455
 
1.1%
rated\n 1223
 
0.9%
of 1194
 
0.9%
4 1157
 
0.9%
Other values (9732) 104290
79.9%
2025-06-02T20:48:32.236076image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
79976
 
12.6%
e 43367
 
6.8%
a 29832
 
4.7%
t 28297
 
4.4%
o 24964
 
3.9%
n 23334
 
3.7%
i 23041
 
3.6%
s 19712
 
3.1%
1 19581
 
3.1%
r 18950
 
3.0%
Other values (108) 325160
51.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 352209
55.4%
Decimal Number 129617
 
20.4%
Space Separator 79976
 
12.6%
Uppercase Letter 37061
 
5.8%
Other Punctuation 29230
 
4.6%
Open Punctuation 5705
 
0.9%
Close Punctuation 1540
 
0.2%
Dash Punctuation 495
 
0.1%
Currency Symbol 159
 
< 0.1%
Other Symbol 128
 
< 0.1%
Other values (6) 94
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 43367
 
12.3%
a 29832
 
8.5%
t 28297
 
8.0%
o 24964
 
7.1%
n 23334
 
6.6%
i 23041
 
6.5%
s 19712
 
5.6%
r 18950
 
5.4%
h 15803
 
4.5%
d 15100
 
4.3%
Other values (18) 109809
31.2%
Uppercase Letter
ValueCountFrequency (%)
à 8475
22.9%
 8475
22.9%
T 3159
 
8.5%
R 2686
 
7.2%
A 2094
 
5.7%
I 1695
 
4.6%
E 1648
 
4.4%
D 1612
 
4.3%
S 833
 
2.2%
C 700
 
1.9%
Other values (18) 5684
15.3%
Other Punctuation
ValueCountFrequency (%)
\ 11701
40.0%
. 8748
29.9%
' 5156
17.6%
" 1628
 
5.6%
! 729
 
2.5%
/ 376
 
1.3%
: 282
 
1.0%
, 238
 
0.8%
? 149
 
0.5%
& 107
 
0.4%
Other values (9) 116
 
0.4%
Decimal Number
ValueCountFrequency (%)
1 19581
15.1%
0 17973
13.9%
2 17344
13.4%
8 14673
11.3%
3 14415
11.1%
4 11338
8.7%
5 9785
7.5%
6 8465
6.5%
7 8434
6.5%
9 7609
 
5.9%
Math Symbol
ValueCountFrequency (%)
+ 13
40.6%
= 10
31.2%
> 5
 
15.6%
± 2
 
6.2%
~ 1
 
3.1%
¬ 1
 
3.1%
Modifier Symbol
ValueCountFrequency (%)
¸ 13
46.4%
¯ 9
32.1%
¨ 3
 
10.7%
´ 2
 
7.1%
` 1
 
3.6%
Other Symbol
ValueCountFrequency (%)
° 121
94.5%
© 4
 
3.1%
¦ 2
 
1.6%
® 1
 
0.8%
Other Number
ValueCountFrequency (%)
¹ 6
46.2%
¼ 4
30.8%
¾ 2
 
15.4%
² 1
 
7.7%
Open Punctuation
ValueCountFrequency (%)
‚ 4411
77.3%
( 1284
 
22.5%
[ 10
 
0.2%
Close Punctuation
ValueCountFrequency (%)
) 1517
98.5%
] 22
 
1.4%
} 1
 
0.1%
Currency Symbol
ValueCountFrequency (%)
¢ 131
82.4%
¤ 23
 
14.5%
¥ 5
 
3.1%
Space Separator
ValueCountFrequency (%)
79976
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 495
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 9
100.0%
Final Punctuation
ValueCountFrequency (%)
» 8
100.0%
Other Letter
ValueCountFrequency (%)
º 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 389273
61.2%
Common 246941
38.8%

Most frequent character per script

Common
ValueCountFrequency (%)
79976
32.4%
1 19581
 
7.9%
0 17973
 
7.3%
2 17344
 
7.0%
8 14673
 
5.9%
3 14415
 
5.8%
\ 11701
 
4.7%
4 11338
 
4.6%
5 9785
 
4.0%
. 8748
 
3.5%
Other values (52) 41407
16.8%
Latin
ValueCountFrequency (%)
e 43367
 
11.1%
a 29832
 
7.7%
t 28297
 
7.3%
o 24964
 
6.4%
n 23334
 
6.0%
i 23041
 
5.9%
s 19712
 
5.1%
r 18950
 
4.9%
h 15803
 
4.1%
d 15100
 
3.9%
Other values (46) 146873
37.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 602314
94.7%
None 29489
 
4.6%
Punctuation 4411
 
0.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
79976
 
13.3%
e 43367
 
7.2%
a 29832
 
5.0%
t 28297
 
4.7%
o 24964
 
4.1%
n 23334
 
3.9%
i 23041
 
3.8%
s 19712
 
3.3%
1 19581
 
3.3%
r 18950
 
3.1%
Other values (80) 291260
48.4%
None
ValueCountFrequency (%)
ƒ 12192
41.3%
à 8475
28.7%
 8475
28.7%
¢ 131
 
0.4%
° 121
 
0.4%
¤ 23
 
0.1%
¸ 13
 
< 0.1%
¯ 9
 
< 0.1%
» 8
 
< 0.1%
¹ 6
 
< 0.1%
Other values (17) 36
 
0.1%
Punctuation
ValueCountFrequency (%)
‚ 4411
100.0%

phone
Text

Missing 

Distinct17712
Distinct (%)32.2%
Missing1296
Missing (%)2.3%
Memory size439.6 KiB
2025-06-02T20:48:32.547224image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length2499
Median length1955
Mean length27.323004
Min length2

Characters and Unicode

Total characters1501563
Distinct characters113
Distinct categories16 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6965 ?
Unique (%)12.7%

Sample

1st row080 42297555 +91 9743772233
2nd row080 41714161
3rd row+91 9663487993
4th row+91 9620009302
5th row+91 8026612447 +91 9901210005
ValueCountFrequency (%)
91 51097
 
23.4%
080 18513
 
8.5%
the 3694
 
1.7%
and 2639
 
1.2%
a 1789
 
0.8%
was 1464
 
0.7%
to 1376
 
0.6%
is 1347
 
0.6%
rated 1275
 
0.6%
of 1159
 
0.5%
Other values (22351) 134259
61.4%
2025-06-02T20:48:33.002500image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
149233
 
9.9%
9 141148
 
9.4%
0 116521
 
7.8%
1 113022
 
7.5%
8 100802
 
6.7%
4 69706
 
4.6%
2 64353
 
4.3%
6 61501
 
4.1%
3 60828
 
4.1%
5 59567
 
4.0%
Other values (103) 564882
37.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 845810
56.3%
Lowercase Letter 347998
23.2%
Space Separator 149233
 
9.9%
Math Symbol 51158
 
3.4%
Uppercase Letter 35612
 
2.4%
Control 35517
 
2.4%
Other Punctuation 28196
 
1.9%
Open Punctuation 5546
 
0.4%
Close Punctuation 1532
 
0.1%
Dash Punctuation 630
 
< 0.1%
Other values (6) 331
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 42647
 
12.3%
a 30068
 
8.6%
t 28203
 
8.1%
o 24730
 
7.1%
n 23360
 
6.7%
i 22457
 
6.5%
s 19645
 
5.6%
r 18971
 
5.5%
h 15445
 
4.4%
d 15226
 
4.4%
Other values (18) 107246
30.8%
Uppercase Letter
ValueCountFrequency (%)
à 7804
21.9%
 7804
21.9%
T 2914
 
8.2%
R 2812
 
7.9%
A 2102
 
5.9%
I 1754
 
4.9%
E 1595
 
4.5%
D 1457
 
4.1%
S 882
 
2.5%
B 776
 
2.2%
Other values (18) 5712
16.0%
Other Punctuation
ValueCountFrequency (%)
\ 11290
40.0%
. 8651
30.7%
' 4875
17.3%
" 1529
 
5.4%
! 668
 
2.4%
/ 385
 
1.4%
: 353
 
1.3%
? 190
 
0.7%
& 84
 
0.3%
# 76
 
0.3%
Other values (7) 95
 
0.3%
Decimal Number
ValueCountFrequency (%)
9 141148
16.7%
0 116521
13.8%
1 113022
13.4%
8 100802
11.9%
4 69706
8.2%
2 64353
7.6%
6 61501
7.3%
3 60828
7.2%
5 59567
7.0%
7 58362
6.9%
Math Symbol
ValueCountFrequency (%)
+ 51135
> 99.9%
= 15
 
< 0.1%
~ 4
 
< 0.1%
> 3
 
< 0.1%
< 1
 
< 0.1%
Modifier Symbol
ValueCountFrequency (%)
¸ 12
46.2%
¯ 12
46.2%
¨ 1
 
3.8%
´ 1
 
3.8%
Open Punctuation
ValueCountFrequency (%)
‚ 4070
73.4%
( 1463
 
26.4%
[ 13
 
0.2%
Currency Symbol
ValueCountFrequency (%)
¢ 154
81.1%
¤ 28
 
14.7%
¥ 8
 
4.2%
Other Symbol
ValueCountFrequency (%)
° 83
85.6%
© 13
 
13.4%
® 1
 
1.0%
Other Number
ValueCountFrequency (%)
¼ 4
50.0%
¾ 3
37.5%
¹ 1
 
12.5%
Control
ValueCountFrequency (%)
20013
56.3%
15504
43.7%
Close Punctuation
ValueCountFrequency (%)
) 1510
98.6%
] 22
 
1.4%
Other Letter
ValueCountFrequency (%)
ª 6
85.7%
º 1
 
14.3%
Space Separator
ValueCountFrequency (%)
149233
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 630
100.0%
Final Punctuation
ValueCountFrequency (%)
» 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1117947
74.5%
Latin 383616
 
25.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 42647
 
11.1%
a 30068
 
7.8%
t 28203
 
7.4%
o 24730
 
6.4%
n 23360
 
6.1%
i 22457
 
5.9%
s 19645
 
5.1%
r 18971
 
4.9%
h 15445
 
4.0%
d 15226
 
4.0%
Other values (47) 142864
37.2%
Common
ValueCountFrequency (%)
149233
13.3%
9 141148
12.6%
0 116521
10.4%
1 113022
10.1%
8 100802
9.0%
4 69706
 
6.2%
2 64353
 
5.8%
6 61501
 
5.5%
3 60828
 
5.4%
5 59567
 
5.3%
Other values (46) 181266
16.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1470347
97.9%
None 27146
 
1.8%
Punctuation 4070
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
149233
 
10.1%
9 141148
 
9.6%
0 116521
 
7.9%
1 113022
 
7.7%
8 100802
 
6.9%
4 69706
 
4.7%
2 64353
 
4.4%
6 61501
 
4.2%
3 60828
 
4.1%
5 59567
 
4.1%
Other values (80) 533666
36.3%
None
ValueCountFrequency (%)
ƒ 11204
41.3%
à 7804
28.7%
 7804
28.7%
¢ 154
 
0.6%
° 83
 
0.3%
¤ 28
 
0.1%
© 13
 
< 0.1%
¸ 12
 
< 0.1%
¯ 12
 
< 0.1%
¥ 8
 
< 0.1%
Other values (12) 24
 
0.1%
Punctuation
ValueCountFrequency (%)
‚ 4070
100.0%

location
Text

Distinct2920
Distinct (%)5.2%
Missing126
Missing (%)0.2%
Memory size439.6 KiB
2025-06-02T20:48:33.246630image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length6260
Median length1931
Mean length19.898817
Min length2

Characters and Unicode

Total characters1116841
Distinct characters114
Distinct categories16 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2556 ?
Unique (%)4.6%

Sample

1st rowBanashankari
2nd rowBanashankari
3rd rowBanashankari
4th rowBanashankari
5th rowBasavanagudi
ValueCountFrequency (%)
road 9575
 
5.8%
koramangala 7801
 
4.8%
block 7737
 
4.7%
btm 5128
 
3.1%
nagar 4844
 
3.0%
the 3571
 
2.2%
and 2682
 
1.6%
hsr 2529
 
1.5%
5th 2506
 
1.5%
whitefield 2380
 
1.5%
Other values (7610) 114964
70.2%
2025-06-02T20:48:33.624467image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 141335
 
12.7%
113330
 
10.1%
e 61658
 
5.5%
r 59559
 
5.3%
o 58134
 
5.2%
n 55363
 
5.0%
t 49775
 
4.5%
l 47575
 
4.3%
i 45219
 
4.0%
h 36429
 
3.3%
Other values (104) 448464
40.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 800730
71.7%
Uppercase Letter 137030
 
12.3%
Space Separator 113330
 
10.1%
Other Punctuation 30012
 
2.7%
Decimal Number 27437
 
2.5%
Open Punctuation 5947
 
0.5%
Close Punctuation 1442
 
0.1%
Dash Punctuation 536
 
< 0.1%
Other Symbol 144
 
< 0.1%
Currency Symbol 128
 
< 0.1%
Other values (6) 105
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 141335
17.7%
e 61658
 
7.7%
r 59559
 
7.4%
o 58134
 
7.3%
n 55363
 
6.9%
t 49775
 
6.2%
l 47575
 
5.9%
i 45219
 
5.6%
h 36429
 
4.5%
d 36385
 
4.5%
Other values (18) 209298
26.1%
Uppercase Letter
ValueCountFrequency (%)
B 22268
16.3%
R 17376
12.7%
M 9997
 
7.3%
K 9800
 
7.2%
T 9373
 
6.8%
à 8682
 
6.3%
 8682
 
6.3%
S 7152
 
5.2%
N 6026
 
4.4%
J 4564
 
3.3%
Other values (18) 33110
24.2%
Other Punctuation
ValueCountFrequency (%)
\ 11901
39.7%
. 9707
32.3%
' 4738
 
15.8%
" 1470
 
4.9%
! 801
 
2.7%
? 353
 
1.2%
/ 332
 
1.1%
: 269
 
0.9%
, 230
 
0.8%
& 81
 
0.3%
Other values (8) 130
 
0.4%
Decimal Number
ValueCountFrequency (%)
8 7954
29.0%
2 4282
15.6%
3 4026
14.7%
5 3529
12.9%
4 1726
 
6.3%
1 1564
 
5.7%
0 1420
 
5.2%
7 1214
 
4.4%
6 1186
 
4.3%
9 536
 
2.0%
Math Symbol
ValueCountFrequency (%)
+ 20
69.0%
~ 4
 
13.8%
> 2
 
6.9%
< 1
 
3.4%
| 1
 
3.4%
± 1
 
3.4%
Other Symbol
ValueCountFrequency (%)
° 131
91.0%
© 10
 
6.9%
¦ 2
 
1.4%
® 1
 
0.7%
Modifier Symbol
ValueCountFrequency (%)
¸ 20
45.5%
¯ 17
38.6%
¨ 6
 
13.6%
´ 1
 
2.3%
Open Punctuation
ValueCountFrequency (%)
‚ 4514
75.9%
( 1424
 
23.9%
[ 9
 
0.2%
Currency Symbol
ValueCountFrequency (%)
¢ 109
85.2%
¤ 15
 
11.7%
¥ 4
 
3.1%
Other Number
ValueCountFrequency (%)
² 9
60.0%
¹ 5
33.3%
¾ 1
 
6.7%
Close Punctuation
ValueCountFrequency (%)
) 1427
99.0%
] 15
 
1.0%
Space Separator
ValueCountFrequency (%)
113330
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 536
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 9
100.0%
Final Punctuation
ValueCountFrequency (%)
» 6
100.0%
Other Letter
ValueCountFrequency (%)
ª 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 937759
84.0%
Common 179082
 
16.0%

Most frequent character per script

Common
ValueCountFrequency (%)
113330
63.3%
\ 11901
 
6.6%
. 9707
 
5.4%
8 7954
 
4.4%
' 4738
 
2.6%
‚ 4514
 
2.5%
2 4282
 
2.4%
3 4026
 
2.2%
5 3529
 
2.0%
4 1726
 
1.0%
Other values (48) 13375
 
7.5%
Latin
ValueCountFrequency (%)
a 141335
15.1%
e 61658
 
6.6%
r 59559
 
6.4%
o 58134
 
6.2%
n 55363
 
5.9%
t 49775
 
5.3%
l 47575
 
5.1%
i 45219
 
4.8%
h 36429
 
3.9%
d 36385
 
3.9%
Other values (46) 346327
36.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1082113
96.9%
None 30214
 
2.7%
Punctuation 4514
 
0.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 141335
 
13.1%
113330
 
10.5%
e 61658
 
5.7%
r 59559
 
5.5%
o 58134
 
5.4%
n 55363
 
5.1%
t 49775
 
4.6%
l 47575
 
4.4%
i 45219
 
4.2%
h 36429
 
3.4%
Other values (79) 413736
38.2%
None
ValueCountFrequency (%)
ƒ 12504
41.4%
à 8682
28.7%
 8682
28.7%
° 131
 
0.4%
¢ 109
 
0.4%
¸ 20
 
0.1%
¯ 17
 
0.1%
¤ 15
 
< 0.1%
© 10
 
< 0.1%
² 9
 
< 0.1%
Other values (14) 35
 
0.1%
Punctuation
ValueCountFrequency (%)
‚ 4514
100.0%

rest_type
Text

Distinct2961
Distinct (%)5.3%
Missing338
Missing (%)0.6%
Memory size439.6 KiB
2025-06-02T20:48:33.938879image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length7205
Median length6083
Mean length20.605841
Min length2

Characters and Unicode

Total characters1152155
Distinct characters113
Distinct categories16 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2624 ?
Unique (%)4.7%

Sample

1st rowCasual Dining
2nd rowCasual Dining
3rd rowCafe, Casual Dining
4th rowQuick Bites
5th rowCasual Dining
ValueCountFrequency (%)
quick 20710
 
11.6%
bites 20644
 
11.6%
dining 13477
 
7.5%
casual 13064
 
7.3%
cafe 5124
 
2.9%
delivery 4698
 
2.6%
the 3831
 
2.1%
dessert 3264
 
1.8%
parlor 3211
 
1.8%
and 2762
 
1.5%
Other values (7957) 87768
49.2%
2025-06-02T20:48:34.392774image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
128311
 
11.1%
e 97038
 
8.4%
i 96984
 
8.4%
a 77545
 
6.7%
s 60923
 
5.3%
t 54152
 
4.7%
n 51455
 
4.5%
u 44806
 
3.9%
r 41313
 
3.6%
l 34867
 
3.0%
Other values (103) 464761
40.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 810593
70.4%
Uppercase Letter 140676
 
12.2%
Space Separator 128311
 
11.1%
Other Punctuation 39296
 
3.4%
Decimal Number 23815
 
2.1%
Open Punctuation 7036
 
0.6%
Close Punctuation 1445
 
0.1%
Dash Punctuation 529
 
< 0.1%
Currency Symbol 192
 
< 0.1%
Other Symbol 170
 
< 0.1%
Other values (6) 92
 
< 0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
B 27308
19.4%
D 22870
16.3%
Q 20677
14.7%
C 19608
13.9%
à 10996
7.8%
 10996
7.8%
T 5323
 
3.8%
P 4659
 
3.3%
S 3762
 
2.7%
R 2615
 
1.9%
Other values (18) 11862
8.4%
Lowercase Letter
ValueCountFrequency (%)
e 97038
12.0%
i 96984
12.0%
a 77545
 
9.6%
s 60923
 
7.5%
t 54152
 
6.7%
n 51455
 
6.3%
u 44806
 
5.5%
r 41313
 
5.1%
l 34867
 
4.3%
o 34128
 
4.2%
Other values (17) 217382
26.8%
Other Punctuation
ValueCountFrequency (%)
\ 14170
36.1%
. 8720
22.2%
, 7842
20.0%
' 4830
 
12.3%
" 1605
 
4.1%
! 753
 
1.9%
? 553
 
1.4%
: 336
 
0.9%
/ 296
 
0.8%
& 93
 
0.2%
Other values (8) 98
 
0.2%
Decimal Number
ValueCountFrequency (%)
8 9721
40.8%
2 5256
22.1%
3 4757
20.0%
0 1349
 
5.7%
5 1024
 
4.3%
9 670
 
2.8%
4 649
 
2.7%
1 324
 
1.4%
6 34
 
0.1%
7 31
 
0.1%
Math Symbol
ValueCountFrequency (%)
+ 26
68.4%
± 4
 
10.5%
= 4
 
10.5%
< 2
 
5.3%
~ 1
 
2.6%
¬ 1
 
2.6%
Modifier Symbol
ValueCountFrequency (%)
¯ 20
48.8%
¸ 19
46.3%
¨ 1
 
2.4%
´ 1
 
2.4%
Other Number
ValueCountFrequency (%)
¼ 1
25.0%
¾ 1
25.0%
¹ 1
25.0%
½ 1
25.0%
Open Punctuation
ValueCountFrequency (%)
‚ 5712
81.2%
( 1315
 
18.7%
[ 9
 
0.1%
Currency Symbol
ValueCountFrequency (%)
¢ 168
87.5%
¤ 16
 
8.3%
¥ 8
 
4.2%
Other Symbol
ValueCountFrequency (%)
° 158
92.9%
© 9
 
5.3%
¦ 3
 
1.8%
Close Punctuation
ValueCountFrequency (%)
) 1425
98.6%
] 20
 
1.4%
Space Separator
ValueCountFrequency (%)
128311
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 529
100.0%
Final Punctuation
ValueCountFrequency (%)
» 5
100.0%
Other Letter
ValueCountFrequency (%)
º 3
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 951272
82.6%
Common 200883
 
17.4%

Most frequent character per script

Common
ValueCountFrequency (%)
128311
63.9%
\ 14170
 
7.1%
8 9721
 
4.8%
. 8720
 
4.3%
, 7842
 
3.9%
‚ 5712
 
2.8%
2 5256
 
2.6%
' 4830
 
2.4%
3 4757
 
2.4%
" 1605
 
0.8%
Other values (47) 9959
 
5.0%
Latin
ValueCountFrequency (%)
e 97038
 
10.2%
i 96984
 
10.2%
a 77545
 
8.2%
s 60923
 
6.4%
t 54152
 
5.7%
n 51455
 
5.4%
u 44806
 
4.7%
r 41313
 
4.3%
l 34867
 
3.7%
o 34128
 
3.6%
Other values (46) 358061
37.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1108171
96.2%
None 38272
 
3.3%
Punctuation 5712
 
0.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
128311
 
11.6%
e 97038
 
8.8%
i 96984
 
8.8%
a 77545
 
7.0%
s 60923
 
5.5%
t 54152
 
4.9%
n 51455
 
4.6%
u 44806
 
4.0%
r 41313
 
3.7%
l 34867
 
3.1%
Other values (78) 420777
38.0%
None
ValueCountFrequency (%)
ƒ 15857
41.4%
à 10996
28.7%
 10996
28.7%
¢ 168
 
0.4%
° 158
 
0.4%
¯ 20
 
0.1%
¸ 19
 
< 0.1%
¤ 16
 
< 0.1%
© 9
 
< 0.1%
¥ 8
 
< 0.1%
Other values (14) 25
 
0.1%
Punctuation
ValueCountFrequency (%)
‚ 5712
100.0%

dish_liked
Text

Missing 

Distinct8067
Distinct (%)28.8%
Missing28225
Missing (%)50.2%
Memory size439.6 KiB
2025-06-02T20:48:34.720652image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length10062
Median length903
Mean length74.651907
Min length2

Characters and Unicode

Total characters2092269
Distinct characters112
Distinct categories16 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3570 ?
Unique (%)12.7%

Sample

1st rowPasta, Lunch Buffet, Masala Papad, Paneer Lajawab, Tomato Shorba, Dum Biryani, Sweet Corn Soup
2nd rowMomos, Lunch Buffet, Chocolate Nirvana, Thai Green Curry, Paneer Tikka, Dum Biryani, Chicken Biryani
3rd rowChurros, Cannelloni, Minestrone Soup, Hot Chocolate, Pink Sauce Pasta, Salsa, Veg Supreme Pizza
4th rowMasala Dosa
5th rowPanipuri, Gol Gappe
ValueCountFrequency (%)
chicken 15284
 
5.2%
biryani 7742
 
2.7%
pizza 4887
 
1.7%
pasta 4217
 
1.4%
the 3668
 
1.3%
chocolate 3394
 
1.2%
burgers 3050
 
1.0%
masala 3043
 
1.0%
cocktails 2866
 
1.0%
and 2859
 
1.0%
Other values (8376) 240470
82.5%
2025-06-02T20:48:35.332049image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
269014
 
12.9%
a 184391
 
8.8%
e 156944
 
7.5%
i 121074
 
5.8%
, 105704
 
5.1%
o 93458
 
4.5%
r 91585
 
4.4%
n 84500
 
4.0%
t 80326
 
3.8%
s 73024
 
3.5%
Other values (102) 832249
39.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1389437
66.4%
Space Separator 269014
 
12.9%
Uppercase Letter 256772
 
12.3%
Other Punctuation 139222
 
6.7%
Decimal Number 27206
 
1.3%
Open Punctuation 8001
 
0.4%
Close Punctuation 1495
 
0.1%
Dash Punctuation 652
 
< 0.1%
Other Symbol 257
 
< 0.1%
Currency Symbol 115
 
< 0.1%
Other values (6) 98
 
< 0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
C 41594
16.2%
B 28401
11.1%
P 28265
11.0%
S 20351
 
7.9%
M 17658
 
6.9%
T 13356
 
5.2%
à 12675
 
4.9%
 12675
 
4.9%
R 12673
 
4.9%
F 10624
 
4.1%
Other values (18) 58500
22.8%
Lowercase Letter
ValueCountFrequency (%)
a 184391
13.3%
e 156944
11.3%
i 121074
 
8.7%
o 93458
 
6.7%
r 91585
 
6.6%
n 84500
 
6.1%
t 80326
 
5.8%
s 73024
 
5.3%
h 71719
 
5.2%
l 65168
 
4.7%
Other values (17) 367248
26.4%
Other Punctuation
ValueCountFrequency (%)
, 105704
75.9%
\ 15633
 
11.2%
. 8807
 
6.3%
' 5460
 
3.9%
" 1579
 
1.1%
! 627
 
0.5%
? 569
 
0.4%
/ 337
 
0.2%
: 286
 
0.2%
& 97
 
0.1%
Other values (7) 123
 
0.1%
Decimal Number
ValueCountFrequency (%)
8 11286
41.5%
2 6041
22.2%
3 5528
20.3%
0 1342
 
4.9%
5 1014
 
3.7%
9 773
 
2.8%
4 726
 
2.7%
1 390
 
1.4%
7 65
 
0.2%
6 41
 
0.2%
Other Number
ValueCountFrequency (%)
² 13
50.0%
¹ 6
23.1%
³ 4
 
15.4%
¼ 2
 
7.7%
¾ 1
 
3.8%
Math Symbol
ValueCountFrequency (%)
+ 11
42.3%
> 7
26.9%
± 3
 
11.5%
¬ 3
 
11.5%
= 2
 
7.7%
Modifier Symbol
ValueCountFrequency (%)
¸ 9
42.9%
¯ 8
38.1%
¨ 3
 
14.3%
´ 1
 
4.8%
Open Punctuation
ValueCountFrequency (%)
‚ 6567
82.1%
( 1384
 
17.3%
[ 50
 
0.6%
Other Symbol
ValueCountFrequency (%)
° 247
96.1%
© 9
 
3.5%
¦ 1
 
0.4%
Close Punctuation
ValueCountFrequency (%)
) 1430
95.7%
] 65
 
4.3%
Currency Symbol
ValueCountFrequency (%)
¢ 100
87.0%
¤ 15
 
13.0%
Other Letter
ValueCountFrequency (%)
ª 13
81.2%
º 3
 
18.8%
Space Separator
ValueCountFrequency (%)
269014
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 652
100.0%
Final Punctuation
ValueCountFrequency (%)
» 7
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1646225
78.7%
Common 446044
 
21.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 184391
 
11.2%
e 156944
 
9.5%
i 121074
 
7.4%
o 93458
 
5.7%
r 91585
 
5.6%
n 84500
 
5.1%
t 80326
 
4.9%
s 73024
 
4.4%
h 71719
 
4.4%
l 65168
 
4.0%
Other values (47) 624036
37.9%
Common
ValueCountFrequency (%)
269014
60.3%
, 105704
 
23.7%
\ 15633
 
3.5%
8 11286
 
2.5%
. 8807
 
2.0%
‚ 6567
 
1.5%
2 6041
 
1.4%
3 5528
 
1.2%
' 5460
 
1.2%
" 1579
 
0.4%
Other values (45) 10425
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2041569
97.6%
None 44133
 
2.1%
Punctuation 6567
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
269014
 
13.2%
a 184391
 
9.0%
e 156944
 
7.7%
i 121074
 
5.9%
, 105704
 
5.2%
o 93458
 
4.6%
r 91585
 
4.5%
n 84500
 
4.1%
t 80326
 
3.9%
s 73024
 
3.6%
Other values (77) 781549
38.3%
None
ValueCountFrequency (%)
ƒ 18331
41.5%
à 12675
28.7%
 12675
28.7%
° 247
 
0.6%
¢ 100
 
0.2%
¤ 15
 
< 0.1%
² 13
 
< 0.1%
ª 13
 
< 0.1%
© 9
 
< 0.1%
¸ 9
 
< 0.1%
Other values (14) 46
 
0.1%
Punctuation
ValueCountFrequency (%)
‚ 6567
100.0%

cuisines
Text

Distinct5553
Distinct (%)9.9%
Missing203
Missing (%)0.4%
Memory size439.6 KiB
2025-06-02T20:48:35.604722image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length5787
Median length1975
Mean length31.842245
Min length2

Characters and Unicode

Total characters1784726
Distinct characters114
Distinct categories16 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2801 ?
Unique (%)5.0%

Sample

1st rowNorth Indian, Mughlai, Chinese
2nd rowChinese, North Indian, Thai
3rd rowCafe, Mexican, Italian
4th rowSouth Indian, North Indian
5th rowNorth Indian, Rajasthani
ValueCountFrequency (%)
indian 29937
 
11.9%
north 21170
 
8.4%
chinese 15586
 
6.2%
food 13713
 
5.5%
south 8679
 
3.5%
fast 8135
 
3.2%
biryani 6589
 
2.6%
continental 5771
 
2.3%
desserts 5680
 
2.3%
cafe 5346
 
2.1%
Other values (8075) 130658
52.0%
2025-06-02T20:48:36.019322image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
200810
 
11.3%
e 143780
 
8.1%
n 142128
 
8.0%
a 136232
 
7.6%
i 109154
 
6.1%
t 97135
 
5.4%
o 96581
 
5.4%
r 80276
 
4.5%
, 75377
 
4.2%
s 72604
 
4.1%
Other values (104) 630649
35.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1225678
68.7%
Uppercase Letter 215683
 
12.1%
Space Separator 200810
 
11.3%
Other Punctuation 107941
 
6.0%
Decimal Number 24714
 
1.4%
Open Punctuation 7263
 
0.4%
Close Punctuation 1489
 
0.1%
Dash Punctuation 688
 
< 0.1%
Other Symbol 189
 
< 0.1%
Currency Symbol 157
 
< 0.1%
Other values (6) 114
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 143780
11.7%
n 142128
11.6%
a 136232
11.1%
i 109154
8.9%
t 97135
7.9%
o 96581
7.9%
r 80276
 
6.5%
s 72604
 
5.9%
h 70099
 
5.7%
d 65930
 
5.4%
Other values (18) 211759
17.3%
Uppercase Letter
ValueCountFrequency (%)
I 36765
17.0%
C 29781
13.8%
F 22778
10.6%
N 21607
10.0%
B 19118
8.9%
S 16704
7.7%
à 11311
 
5.2%
 11311
 
5.2%
A 7840
 
3.6%
D 7177
 
3.3%
Other values (18) 31291
14.5%
Other Punctuation
ValueCountFrequency (%)
, 75377
69.8%
\ 14745
 
13.7%
. 9210
 
8.5%
' 5075
 
4.7%
" 1552
 
1.4%
! 779
 
0.7%
: 411
 
0.4%
/ 403
 
0.4%
? 198
 
0.2%
& 84
 
0.1%
Other values (6) 107
 
0.1%
Decimal Number
ValueCountFrequency (%)
8 10063
40.7%
2 5438
22.0%
3 5001
20.2%
0 1316
 
5.3%
5 1164
 
4.7%
4 715
 
2.9%
9 648
 
2.6%
1 294
 
1.2%
6 38
 
0.2%
7 37
 
0.1%
Math Symbol
ValueCountFrequency (%)
+ 28
52.8%
= 10
 
18.9%
± 4
 
7.5%
> 4
 
7.5%
| 3
 
5.7%
< 3
 
5.7%
~ 1
 
1.9%
Open Punctuation
ValueCountFrequency (%)
‚ 5865
80.8%
( 1366
 
18.8%
[ 30
 
0.4%
{ 2
 
< 0.1%
Other Symbol
ValueCountFrequency (%)
° 170
89.9%
© 16
 
8.5%
¦ 2
 
1.1%
® 1
 
0.5%
Close Punctuation
ValueCountFrequency (%)
) 1444
97.0%
] 43
 
2.9%
} 2
 
0.1%
Currency Symbol
ValueCountFrequency (%)
¢ 139
88.5%
¤ 16
 
10.2%
¥ 2
 
1.3%
Modifier Symbol
ValueCountFrequency (%)
¯ 20
52.6%
¸ 17
44.7%
¨ 1
 
2.6%
Other Number
ValueCountFrequency (%)
¹ 6
60.0%
½ 3
30.0%
³ 1
 
10.0%
Space Separator
ValueCountFrequency (%)
200810
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 688
100.0%
Other Letter
ValueCountFrequency (%)
º 6
100.0%
Final Punctuation
ValueCountFrequency (%)
» 5
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1441366
80.8%
Common 343360
 
19.2%

Most frequent character per script

Common
ValueCountFrequency (%)
200810
58.5%
, 75377
 
22.0%
\ 14745
 
4.3%
8 10063
 
2.9%
. 9210
 
2.7%
‚ 5865
 
1.7%
2 5438
 
1.6%
' 5075
 
1.5%
3 5001
 
1.5%
" 1552
 
0.5%
Other values (48) 10224
 
3.0%
Latin
ValueCountFrequency (%)
e 143780
 
10.0%
n 142128
 
9.9%
a 136232
 
9.5%
i 109154
 
7.6%
t 97135
 
6.7%
o 96581
 
6.7%
r 80276
 
5.6%
s 72604
 
5.0%
h 70099
 
4.9%
d 65930
 
4.6%
Other values (46) 427447
29.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1739482
97.5%
None 39379
 
2.2%
Punctuation 5865
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
200810
 
11.5%
e 143780
 
8.3%
n 142128
 
8.2%
a 136232
 
7.8%
i 109154
 
6.3%
t 97135
 
5.6%
o 96581
 
5.6%
r 80276
 
4.6%
, 75377
 
4.3%
s 72604
 
4.2%
Other values (82) 585405
33.7%
None
ValueCountFrequency (%)
ƒ 16342
41.5%
à 11311
28.7%
 11311
28.7%
° 170
 
0.4%
¢ 139
 
0.4%
¯ 20
 
0.1%
¸ 17
 
< 0.1%
© 16
 
< 0.1%
¤ 16
 
< 0.1%
¹ 6
 
< 0.1%
Other values (11) 31
 
0.1%
Punctuation
ValueCountFrequency (%)
‚ 5865
100.0%

approx_cost(for two people)
Text

Distinct2879
Distinct (%)5.2%
Missing521
Missing (%)0.9%
Memory size439.6 KiB
2025-06-02T20:48:36.302099image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length14885
Median length3
Mean length13.162369
Min length2

Characters and Unicode

Total characters733552
Distinct characters120
Distinct categories16 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2570 ?
Unique (%)4.6%

Sample

1st row800
2nd row800
3rd row800
4th row300
5th row600
ValueCountFrequency (%)
300 7580
 
5.8%
400 6562
 
5.1%
500 4985
 
3.8%
200 4861
 
3.7%
600 3714
 
2.9%
the 3691
 
2.8%
250 2960
 
2.3%
and 2626
 
2.0%
800 2285
 
1.8%
150 2069
 
1.6%
Other values (8043) 88430
68.1%
2025-06-02T20:48:36.713955image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 95545
 
13.0%
79727
 
10.9%
e 43026
 
5.9%
a 30337
 
4.1%
t 28533
 
3.9%
o 24849
 
3.4%
i 23213
 
3.2%
n 22935
 
3.1%
s 20035
 
2.7%
r 19347
 
2.6%
Other values (110) 346005
47.2%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 364544
49.7%
Decimal Number 189103
25.8%
Space Separator 79727
 
10.9%
Uppercase Letter 47144
 
6.4%
Other Punctuation 41884
 
5.7%
Open Punctuation 8400
 
1.1%
Close Punctuation 1531
 
0.2%
Dash Punctuation 609
 
0.1%
Currency Symbol 266
 
< 0.1%
Other Symbol 133
 
< 0.1%
Other values (6) 211
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 43026
 
11.8%
a 30337
 
8.3%
t 28533
 
7.8%
o 24849
 
6.8%
i 23213
 
6.4%
n 22935
 
6.3%
s 20035
 
5.5%
r 19347
 
5.3%
ƒ 19180
 
5.3%
h 15724
 
4.3%
Other values (18) 117365
32.2%
Uppercase Letter
ValueCountFrequency (%)
à 13414
28.5%
 13414
28.5%
T 3031
 
6.4%
R 2703
 
5.7%
A 2046
 
4.3%
I 1596
 
3.4%
D 1561
 
3.3%
E 1448
 
3.1%
S 901
 
1.9%
C 863
 
1.8%
Other values (18) 6167
13.1%
Other Punctuation
ValueCountFrequency (%)
\ 16016
38.2%
. 9319
22.2%
, 7412
17.7%
' 5667
 
13.5%
" 1518
 
3.6%
! 723
 
1.7%
/ 389
 
0.9%
: 307
 
0.7%
? 230
 
0.5%
& 104
 
0.2%
Other values (8) 199
 
0.5%
Decimal Number
ValueCountFrequency (%)
0 95545
50.5%
5 18762
 
9.9%
2 15964
 
8.4%
3 15851
 
8.4%
8 14338
 
7.6%
1 9968
 
5.3%
4 9274
 
4.9%
6 4825
 
2.6%
7 3003
 
1.6%
9 1573
 
0.8%
Math Symbol
ValueCountFrequency (%)
+ 16
37.2%
= 12
27.9%
| 6
 
14.0%
> 5
 
11.6%
± 2
 
4.7%
< 1
 
2.3%
¬ 1
 
2.3%
Currency Symbol
ValueCountFrequency (%)
¢ 241
90.6%
¤ 14
 
5.3%
¥ 8
 
3.0%
£ 2
 
0.8%
$ 1
 
0.4%
Open Punctuation
ValueCountFrequency (%)
‚ 7021
83.6%
( 1337
 
15.9%
[ 40
 
0.5%
{ 2
 
< 0.1%
Other Symbol
ValueCountFrequency (%)
° 108
81.2%
© 18
 
13.5%
¦ 5
 
3.8%
® 2
 
1.5%
Other Number
ValueCountFrequency (%)
² 66
64.1%
³ 19
 
18.4%
¾ 12
 
11.7%
¹ 6
 
5.8%
Close Punctuation
ValueCountFrequency (%)
) 1478
96.5%
] 51
 
3.3%
} 2
 
0.1%
Modifier Symbol
ValueCountFrequency (%)
¸ 20
46.5%
¯ 17
39.5%
¨ 6
 
14.0%
Other Letter
ValueCountFrequency (%)
ª 7
77.8%
º 2
 
22.2%
Space Separator
ValueCountFrequency (%)
79727
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 609
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 9
100.0%
Final Punctuation
ValueCountFrequency (%)
» 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 411695
56.1%
Common 321857
43.9%

Most frequent character per script

Common
ValueCountFrequency (%)
0 95545
29.7%
79727
24.8%
5 18762
 
5.8%
\ 16016
 
5.0%
2 15964
 
5.0%
3 15851
 
4.9%
8 14338
 
4.5%
1 9968
 
3.1%
. 9319
 
2.9%
4 9274
 
2.9%
Other values (53) 37093
 
11.5%
Latin
ValueCountFrequency (%)
e 43026
 
10.5%
a 30337
 
7.4%
t 28533
 
6.9%
o 24849
 
6.0%
i 23213
 
5.6%
n 22935
 
5.6%
s 20035
 
4.9%
r 19347
 
4.7%
ƒ 19180
 
4.7%
h 15724
 
3.8%
Other values (47) 164516
40.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 679896
92.7%
None 46635
 
6.4%
Punctuation 7021
 
1.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 95545
 
14.1%
79727
 
11.7%
e 43026
 
6.3%
a 30337
 
4.5%
t 28533
 
4.2%
o 24849
 
3.7%
i 23213
 
3.4%
n 22935
 
3.4%
s 20035
 
2.9%
r 19347
 
2.8%
Other values (82) 292349
43.0%
None
ValueCountFrequency (%)
ƒ 19180
41.1%
à 13414
28.8%
 13414
28.8%
¢ 241
 
0.5%
° 108
 
0.2%
² 66
 
0.1%
¡ 59
 
0.1%
¸ 20
 
< 0.1%
³ 19
 
< 0.1%
© 18
 
< 0.1%
Other values (17) 96
 
0.2%
Punctuation
ValueCountFrequency (%)
‚ 7021
100.0%

listed_in(type)
Text

Missing 

Distinct2783
Distinct (%)5.4%
Missing4610
Missing (%)8.2%
Memory size439.6 KiB
2025-06-02T20:48:36.990950image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length8275
Median length8
Mean length19.048894
Min length1

Characters and Unicode

Total characters983723
Distinct characters112
Distinct categories16 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2576 ?
Unique (%)5.0%

Sample

1st rowBuffet
2nd rowBuffet
3rd rowBuffet
4th rowBuffet
5th rowBuffet
ValueCountFrequency (%)
delivery 24376
 
19.0%
dine-out 16253
 
12.7%
the 3505
 
2.7%
desserts 3429
 
2.7%
and 3166
 
2.5%
a 1769
 
1.4%
1644
 
1.3%
cafes 1465
 
1.1%
was 1453
 
1.1%
to 1446
 
1.1%
Other values (8046) 69831
54.4%
2025-06-02T20:48:37.385903image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 118243
 
12.0%
82117
 
8.3%
i 65701
 
6.7%
t 49322
 
5.0%
r 48160
 
4.9%
D 46221
 
4.7%
n 42027
 
4.3%
o 41140
 
4.2%
l 39349
 
4.0%
s 33504
 
3.4%
Other values (102) 417939
42.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 692702
70.4%
Uppercase Letter 102775
 
10.4%
Space Separator 82117
 
8.3%
Other Punctuation 40205
 
4.1%
Decimal Number 36130
 
3.7%
Dash Punctuation 16915
 
1.7%
Open Punctuation 10570
 
1.1%
Close Punctuation 1633
 
0.2%
Other Symbol 361
 
< 0.1%
Currency Symbol 171
 
< 0.1%
Other values (6) 144
 
< 0.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
D 46221
45.0%
 17440
 
17.0%
à 17440
 
17.0%
T 2948
 
2.9%
R 2687
 
2.6%
C 2400
 
2.3%
A 2040
 
2.0%
I 1622
 
1.6%
B 1566
 
1.5%
E 1370
 
1.3%
Other values (18) 7041
 
6.9%
Lowercase Letter
ValueCountFrequency (%)
e 118243
17.1%
i 65701
 
9.5%
t 49322
 
7.1%
r 48160
 
7.0%
n 42027
 
6.1%
o 41140
 
5.9%
l 39349
 
5.7%
s 33504
 
4.8%
a 33093
 
4.8%
y 31233
 
4.5%
Other values (17) 190930
27.6%
Other Punctuation
ValueCountFrequency (%)
\ 20644
51.3%
. 9036
22.5%
' 5526
 
13.7%
" 1492
 
3.7%
& 870
 
2.2%
! 752
 
1.9%
: 464
 
1.2%
, 458
 
1.1%
/ 443
 
1.1%
? 418
 
1.0%
Other values (6) 102
 
0.3%
Decimal Number
ValueCountFrequency (%)
8 15332
42.4%
2 8357
23.1%
3 7333
20.3%
0 1399
 
3.9%
5 1159
 
3.2%
9 1139
 
3.2%
4 788
 
2.2%
1 544
 
1.5%
6 51
 
0.1%
7 28
 
0.1%
Math Symbol
ValueCountFrequency (%)
+ 24
36.9%
= 19
29.2%
> 11
16.9%
| 4
 
6.2%
± 2
 
3.1%
~ 2
 
3.1%
¬ 2
 
3.1%
< 1
 
1.5%
Open Punctuation
ValueCountFrequency (%)
‚ 9023
85.4%
( 1519
 
14.4%
[ 24
 
0.2%
{ 4
 
< 0.1%
Currency Symbol
ValueCountFrequency (%)
¢ 152
88.9%
¤ 16
 
9.4%
£ 2
 
1.2%
¥ 1
 
0.6%
Close Punctuation
ValueCountFrequency (%)
) 1597
97.8%
] 32
 
2.0%
} 4
 
0.2%
Modifier Symbol
ValueCountFrequency (%)
¸ 19
43.2%
¯ 19
43.2%
¨ 6
 
13.6%
Other Symbol
ValueCountFrequency (%)
° 359
99.4%
© 2
 
0.6%
Other Number
ValueCountFrequency (%)
¹ 6
60.0%
¼ 4
40.0%
Space Separator
ValueCountFrequency (%)
82117
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16915
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 15
100.0%
Final Punctuation
ValueCountFrequency (%)
» 6
100.0%
Other Letter
ValueCountFrequency (%)
º 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 795481
80.9%
Common 188242
 
19.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 118243
14.9%
i 65701
 
8.3%
t 49322
 
6.2%
r 48160
 
6.1%
D 46221
 
5.8%
n 42027
 
5.3%
o 41140
 
5.2%
l 39349
 
4.9%
s 33504
 
4.2%
a 33093
 
4.2%
Other values (46) 278721
35.0%
Common
ValueCountFrequency (%)
82117
43.6%
\ 20644
 
11.0%
- 16915
 
9.0%
8 15332
 
8.1%
. 9036
 
4.8%
‚ 9023
 
4.8%
2 8357
 
4.4%
3 7333
 
3.9%
' 5526
 
2.9%
) 1597
 
0.8%
Other values (46) 12362
 
6.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 913963
92.9%
None 60737
 
6.2%
Punctuation 9023
 
0.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 118243
 
12.9%
82117
 
9.0%
i 65701
 
7.2%
t 49322
 
5.4%
r 48160
 
5.3%
D 46221
 
5.1%
n 42027
 
4.6%
o 41140
 
4.5%
l 39349
 
4.3%
s 33504
 
3.7%
Other values (82) 348179
38.1%
None
ValueCountFrequency (%)
ƒ 25256
41.6%
 17440
28.7%
à 17440
28.7%
° 359
 
0.6%
¢ 152
 
0.3%
¸ 19
 
< 0.1%
¯ 19
 
< 0.1%
¤ 16
 
< 0.1%
» 6
 
< 0.1%
¨ 6
 
< 0.1%
Other values (9) 24
 
< 0.1%
Punctuation
ValueCountFrequency (%)
‚ 9023
100.0%

Missing values

2025-06-02T20:48:27.110861image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
A simple visualization of nullity by column.
2025-06-02T20:48:27.337841image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2025-06-02T20:48:27.791415image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

addressnameonline_orderbook_tableratevotesphonelocationrest_typedish_likedcuisinesapprox_cost(for two people)listed_in(type)
0942, 21st Main Road, 2nd Stage, Banashankari, BangaloreJalsaYesYes4.1/5775080 42297555\r\n+91 9743772233BanashankariCasual DiningPasta, Lunch Buffet, Masala Papad, Paneer Lajawab, Tomato Shorba, Dum Biryani, Sweet Corn SoupNorth Indian, Mughlai, Chinese800Buffet
12nd Floor, 80 Feet Road, Near Big Bazaar, 6th Block, Kathriguppe, 3rd Stage, Banashankari, BangaloreSpice ElephantYesNo4.1/5787080 41714161BanashankariCasual DiningMomos, Lunch Buffet, Chocolate Nirvana, Thai Green Curry, Paneer Tikka, Dum Biryani, Chicken BiryaniChinese, North Indian, Thai800Buffet
21112, Next to KIMS Medical College, 17th Cross, 2nd Stage, Banashankari, BangaloreSan Churro CafeYesNo3.8/5918+91 9663487993BanashankariCafe, Casual DiningChurros, Cannelloni, Minestrone Soup, Hot Chocolate, Pink Sauce Pasta, Salsa, Veg Supreme PizzaCafe, Mexican, Italian800Buffet
31st Floor, Annakuteera, 3rd Stage, Banashankari, BangaloreAddhuri Udupi BhojanaNoNo3.7/588+91 9620009302BanashankariQuick BitesMasala DosaSouth Indian, North Indian300Buffet
410, 3rd Floor, Lakshmi Associates, Gandhi Bazaar Main Road, Above Reliance Trends, Basavanagudi, BangaloreGrand VillageNoNo3.8/5166+91 8026612447\r\n+91 9901210005BasavanagudiCasual DiningPanipuri, Gol GappeNorth Indian, Rajasthani600Buffet
537, 5-1, 4th Floor, Bosco Court, Gandhi Bazaar Main Road, Basavanagudi, BangaloreTimepass DinnerYesNo3.8/5286+91 9980040002\r\n+91 9980063005BasavanagudiCasual DiningOnion Rings, Pasta, Kadhai Paneer, Salads, Salad, Roti, Jeera RiceNorth Indian600Buffet
619/1, New Timberyard Layout, Beside Satellite Bus Stop, Mysore Road, BangaloreRosewood International Hotel - Bar & RestaurantNoNo3.6/58+91 9731716688\r\n080 26740366Mysore RoadCasual DiningNaNNorth Indian, South Indian, Andhra, Chinese800Buffet
72469, 3rd Floor, 24th Cross, Opposite BDA Complex, 2nd Stage, Banashankari, BangaloreOnestaYesYes4.6/52556080 48653961\r\n080 48655715BanashankariCasual Dining, CafeFarmhouse Pizza, Chocolate Banana, Virgin Mojito, Pasta, Paneer Tikka, Lime Soda, Prawn PizzaPizza, Cafe, Italian600Cafes
81, 30th Main Road, 3rd Stage, Banashankari, BangalorePenthouse CafeYesNo4.0/5324+91 8884135549\r\n+91 9449449316BanashankariCafePizza, Mocktails, Coffee, Nachos, Salad, Pasta, SandwichesCafe, Italian, Continental700NaN
9things tend to get smokey due to the sizzlers. Salt to injuriesservice was sluggish as they took too long to prepare the dishes though there only a few in the cafÃ\x83Â\x83Ã\x82Â\x83Ã\x83Â\x82Ã\x82©. I hope they get good experience out of this and improve in future.\nTaste 3.5/5\nHygiene 3.5/5\nPrice 3/5\nAmbience 2/5\nServing size 3/5\nService 3/5')('Rated 4.0''RATED\n Amazing cafe\nTop floorno outdoor seating.\nFood is deliciousthough the quantity is okayish.\nI ordered 6 dishes.\nCheese balls are yum.\nPink pasta is okay okay.\nGarlic bread is delicious too.\nFrench fries was bad.\nNachos Pizza was okayish.\nOveralla nice place to give a try.')('Rated 1.0''RATED\n Located opposite to wildcraft store..this place is on the 4th floor.\nThe ambience is not good..feels very congested.\nWell for starterswe had nachos cheese salsa which was okay. We ordered some garlic bread with cheese. A complete disappointment as it just had some processed cheese and the bread was dipped in ghee.\nWe ordered some chicken Alfredo hoping it would be better but to our disappointmentit turned out worse than the garlic bread. The Kentucky killing pizza was the worst dish ever made. Hot chocolate was quite good. Lychee punch was okay. Rest was horrible. This place does not even have a proper place for hand wash.\nFood-1/5\nService and staff-2/5\nAmbience-1/5\nHope they really improve.')parking facility I could not locate. Staff can be little more local speaking
addressnameonline_orderbook_tableratevotesphonelocationrest_typedish_likedcuisinesapprox_cost(for two people)listed_in(type)
56242Bengaluru Marriott Hotel, 75, 8th Road, EPIP Area, Whitefield, BangaloreM Bar - Bengaluru Marriott Hotel WhitefieldNoNo3.9 /577080 49435000WhitefieldFine Dining, BarRooftop AmbienceFinger Food2,000Pubs and bars
56243Keys Hotel, 6, 1st Phase Industrial Area, Near Graphite India, Whitefield, BangaloreKeys Cafe - Keys HotelNoNo2.8 /5161080 39451000\n+91 8884038484WhitefieldCasual Dining, BarSalads, Coffee, Breakfast Buffet, Halwa, Chicken Biryani, Lunch Buffet, NoodlesChinese, Continental, North Indian1,200Pubs and bars
56244136, SAP Labs India, KIADB Export Promotion Industrial Area, Whitefield, BangaloreThe Farm House Bar n GrillNoNo3.7 /534+91 9980121279\n+91 9900240646WhitefieldCasual Dining, BarNaNNorth Indian, Continental800Pubs and bars
562452E2, 4th Cross Road, Devasandra Industrial Estate, Mahadevapura, Whitefield, BangaloreTopsy TurveyNoNoNaN0+91 9148155994WhitefieldBarNaNFinger Food900Pubs and bars
56246139/C1, Next To GR Tech Park, Pattandur Agrahara, ITPL, Main Road, Whitefield, BangaloreBhaginiNoNo2.5 /581080 65951222WhitefieldCasual Dining, BarBiryani, Andhra MealAndhra, South Indian, Chinese, North Indian800Pubs and bars
56247Four Points by Sheraton Bengaluru, 43/3, Whitefield Main Road, Whitefield, BangaloreBest Brews - Four Points by Sheraton Bengaluru...NoNo3.6 /527080 40301477WhitefieldBarNaNContinental1,500Pubs and bars
56248Number 10, Garudachar Palya, Mahadevapura, Whitefield, BengaluruVinod Bar And RestaurantNoNoNaN0+91 8197675843WhitefieldBarNaNFinger Food600Pubs and bars
56249Sheraton Grand Bengaluru Whitefield Hotel & Convention Centre, Prestige Shantiniketan, Whitefield, BangalorePlunge - Sheraton Grand Bengaluru Whitefield Hotel &...NoNoNaN0NaNWhitefieldBarNaNFinger Food2,000Pubs and bars
56250Sheraton Grand Bengaluru Whitefield Hotel & Convention Centre, Prestige Shantiniketan, ITPL Main Road, WhitefieldChime - Sheraton Grand Bengaluru Whitefield Hotel &...NoYes4.3 /5236080 49652769ITPL Main Road, WhitefieldBarCocktails, Pizza, ButtermilkFinger Food2,500Pubs and bars
56251ITPL Main Road, KIADB Export Promotion Industrial Area, ITPL Main Road, WhitefieldThe Nest - The Den BengaluruNoNo3.4 /513+91 8071117272ITPL Main Road, WhitefieldBar, Casual DiningNaNFinger Food, North Indian, Continental1,500Pubs and bars

Duplicate rows

Most frequently occurring

addressnameonline_orderbook_tableratevotesphonelocationrest_typedish_likedcuisinesapprox_cost(for two people)listed_in(type)# duplicates
43('Rated 4.0'""RATED\n A place which every bong loves to go.\nTheir prawn cutletdaab chingripalak chingrirailway mutton curry deserves a special applause.\nBe it their buffet or Ala-cartenone of them have disappointed me except on special occasions like Durga Puja or Bengali New year. These Eve's can be ignoredbut I don't blame them for it. Most of the Bengali restaurants serve quite disappointing food during those occasions."")('Rated 5.0''RATED\n If you want to try authentic Bengali food- then Oh!Calcutta is the answer to it. This fine dine restaurant not only offers you tasty foodthe ambience and vibe of this place totally transports you to the Bengal feel.\nThe waiters are very helpful and we tried out some of their signature dishes.\nFew must have starters there are - the fish cutletscrab and prawn kebab and fish fingers\nMain course must haves- definitely the aloo dam and luchimutton kasa curry which is delicous and their fried rice\nDesserts - Rosogolla'RATED\n I went here a few months back and this place is one of two places that we always head to21
10025NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN16
42('Rated 4.0'""RATED\n A place which every bong loves to go.\nTheir prawn cutletdaab chingripalak chingrirailway mutton curry deserves a special applause.\nBe it their buffet or Ala-cartenone of them have disappointed me except on special occasions like Durga Puja or Bengali New year. These Eve's can be ignoredbut I don't blame them for it. Most of the Bengali restaurants serve quite disappointing food during those occasions."")('Rated 5.0'""RATED\n This is my favourite place in Bangalore !! Being an OdiaI can't say no to this food. Went here on a special occasion and we opted for ala carte. Each and every item was cooked to perfection and was lip smacking! It is not too heavy on the pocket as well. I can visit this place any number of times and not get bored. I am head over heels on the Steamed Nolen Gur Sandesh and would highly recommend you all to visit this place if you like Odia or Bengali Cuisine..and I hope I am never disappointed on my future visits"")('Rated 5.0''RATED\n Perfect place for Bengali food. Ambience was good. There was option of buffet but we chose a la carte. But they still served us some of buffet dish with free of cost. Fish paturi was the best dish I felt compare to other Bengali restaurant at Bangalore. Very polite staffs. But bit expensive than compare to other Bengali restaurant but the cost justifies their service. I am really happy with this place.')keeping it's essence alive.\n\nÃ\x83Â\x83Ã\x82Â\x83Ã\x83Â\x82Ã\x82°Ã\x83Â\x83Ã\x82Â\x82Ã\x83Â\x82Ã\x82Â\x9fÃ\x83Â\x83Ã\x82Â\x82Ã\x83Â\x82Ã\x82Â\x91Ã\x83Â\x83Ã\x82Â\x82Ã\x83Â\x82Ã\x82Â\x89 Mocktails:\nÃ\x83Â\x83Ã\x82Â\x83Ã\x83Â\x82Ã\x82°Ã\x83Â\x83Ã\x82Â\x82Ã\x83Â\x82Ã\x82Â\x9fÃ\x83Â\x83Ã\x82Â\x82Ã\x83Â\x82Ã\x82Â\x92Ã\x83Â\x83Ã\x82Â\x82Ã\x83Â\x82Ã\x82Â\x81 Aam Porar Shorbat\nÃ\x83Â\x83Ã\x82Â\x83Ã\x83Â\x82Ã\x82°Ã\x83Â\x83Ã\x82Â\x82Ã\x83Â\x82Ã\x82Â\x9fÃ\x83Â\x83Ã\x82Â\x82Ã\x83Â\x82Ã\x82Â\x92Ã\x83Â\x83Ã\x82Â\x82Ã\x83Â\x82Ã\x82Â\x81 Watermelon and Basil Crush\n\nÃ\x83Â\x83Ã\x82Â\x83Ã\x83Â\x82Ã\x82°Ã\x83Â\x83Ã\x82Â\x82Ã\x83Â\x82Ã\x82Â\x9fÃ\x83Â\x83Ã\x82Â\x82Ã\x83Â\x82Ã\x82Â\x91Ã\x83Â\x83Ã\x82Â\x82Ã\x83Â\x82Ã\x82Â\x89 Food:\nÃ\x83Â\x83Ã\x82Â\x83Ã\x83Â\x82Ã\x82°Ã\x83Â\x83Ã\x82Â\x82Ã\x83Â\x82Ã\x82Â\x9fÃ\x83Â\x83Ã\x82Â\x82Ã\x83Â\x82Ã\x82Â\x92Ã\x83Â\x83Ã\x82Â\x82Ã\x83Â\x82Ã\x82Â\x81 Borishaler Chengri Betki Roll: it's a roll made of pranws n betki. Very delicious.\nÃ\x83Â\x83Ã\x82Â\x83Ã\x83Â\x82Ã\x82°Ã\x83Â\x83Ã\x82Â\x82Ã\x83Â\x82Ã\x82Â\x9fÃ\x83Â\x83Ã\x82Â\x82Ã\x83Â\x82Ã\x82Â\x92Ã\x83Â\x83Ã\x82Â\x82Ã\x83Â\x82Ã\x82Â\x81 King Fish Fry: grilled fish served with french fries.\nÃ\x83Â\x83Ã\x82Â\x83Ã\x83Â\x82Ã\x82°Ã\x83Â\x83Ã\x82Â\x82Ã\x83Â\x82Ã\x82Â\x9fÃ\x83Â\x83Ã\x82Â\x82Ã\x83Â\x82Ã\x82Â\x92Ã\x83Â\x83Ã\x82Â\x82Ã\x83Â\x82Ã\x82Â\x81 Luchi (Poori) and streamed rice with\nÃ\x83Â\x83Ã\x82Â\x83Ã\x83Â\x82Ã\x82°Ã\x83Â\x83Ã\x82Â\x82Ã\x83Â\x82Ã\x82Â\x9fÃ\x83Â\x83Ã\x82Â\x82Ã\x83Â\x82Ã\x82Â\x92Ã\x83Â\x83Ã\x82Â\x82Ã\x83Â\x82Ã\x82Â\x81 Aloo Dum\nÃ\x83Â\x83Ã\x82Â\x83Ã\x83Â\x82Ã\x82°Ã\x83Â\x83Ã\x82Â\x82Ã\x83Â\x82Ã\x82Â\x9fÃ\x83Â\x83Ã\x82Â\x82Ã\x83Â\x82Ã\x82Â\x92Ã\x83Â\x83Ã\x82Â\x82Ã\x83Â\x82Ã\x82Â\x81 Begun Chingri Posto Jhal (Brinjal poopy seeds prawns)\nÃ\x83Â\x83Ã\x82Â\x83Ã\x83Â\x82Ã\x82°Ã\x83Â\x83Ã\x82Â\x82Ã\x83Â\x82Ã\x82Â\x9fÃ\x83Â\x83Ã\x82Â\x82Ã\x83Â\x82Ã\x82Â\x92Ã\x83Â\x83Ã\x82Â\x82Ã\x83Â\x82Ã\x82Â\x81 Lau Shorshe Chingri (Bottle Gourd Prawns)\nÃ\x83Â\x83Ã\x82Â\x83Ã\x83Â\x82Ã\x82°Ã\x83Â\x83Ã\x82Â\x82Ã\x83Â\x82Ã\x82Â\x9fÃ\x83Â\x83Ã\x82Â\x82Ã\x83Â\x82Ã\x82Â\x92Ã\x83Â\x83Ã\x82Â\x82Ã\x83Â\x82Ã\x82Â\x81 Kosha Mangsho (Mutton Curry) - My favourite.\n\nÃ\x83Â\x83Ã\x82Â\x83Ã\x83Â\x82Ã\x82°Ã\x83Â\x83Ã\x82Â\x82Ã\x83Â\x82Ã\x82Â\x9fÃ\x83Â\x83Ã\x82Â\x82Ã\x83Â\x82Ã\x82Â\x91Ã\x83Â\x83Ã\x82Â\x82Ã\x83Â\x82Ã\x82Â\x89 Desserts:\nÃ\x83Â\x83Ã\x82Â\x83Ã\x83Â\x82Ã\x82°Ã\x83Â\x83Ã\x82Â\x82Ã\x83Â\x82Ã\x82Â\x9fÃ\x83Â\x83Ã\x82Â\x82Ã\x83Â\x82Ã\x82Â\x92Ã\x83Â\x83Ã\x82Â\x82Ã\x83Â\x82Ã\x82Â\x81 Nolen Gurer Ice cream (Date-Jaggery Ice-cream) - The best I have had. Do try.\nÃ\x83Â\x83Ã\x82Â\x83Ã\x83Â\x82Ã\x82°Ã\x83Â\x83Ã\x82Â\x82Ã\x83Â\x82Ã\x82Â\x9fÃ\x83Â\x83Ã\x82Â\x82Ã\x83Â\x82Ã\x82Â\x92Ã\x83Â\x83Ã\x82Â\x82Ã\x83Â\x82Ã\x82Â\x81 Rosogolla (Rasgullas)\nÃ\x83Â\x83Ã\x82Â\x83Ã\x83Â\x82Ã\x82°Ã\x83Â\x83Ã\x82Â\x82Ã\x83Â\x82Ã\x82Â\x9fÃ\x83Â\x83Ã\x82Â\x82Ã\x83Â\x82Ã\x82Â\x92Ã\x83Â\x83Ã\x82Â\x82Ã\x83Â\x82Ã\x82Â\x81 Bhapa Sandesh (Steamed Sandesh) very authentic.\n\nAmbiance: 4/5\nFood: 4/5\nService: 4/5\nPrice: 4/5"")15
80('Rated 4.0''RATED\n Had beef sukka and chicken roast here. Both were good. Quantities were less but Zomato gold made it up for it with 1+1. May visit again to try few other dishes. Overall an average experience. Was not too crowded even on a weekend.')('Rated 5.0'""RATED\n Had a late breakfast and I was fullyet I was craving for some delicious coastal food.\n\nSo my destination was TOM'S RESTAURANT.\n\nWent with my friendthe ambience is so got me into homely feeling.A typical classic restaurant.\n\nFOOD:--\n\n1) BEEF SUKKAH : FRIED IN GHEE WITH GENEROUS AMOUNT OF SPICEhad this with neer dosa.OMG what a combo.\n\n2) BASAL FISH FRY :-- Very tender fish fried and served with green salad. After long time had a good fish fry.\n\n3) PRAWN PEPPER FRY:-- This one was amazing n must try. The prawns were oozing with spices and it was so juicy.\n\n4) CHICKEN GHEE ROAST BIRYANI:-- This one is must recommend from my side.\n\n5) HAD SOME LIME JUICES AND SOME DESSERTS WHICH WERE QUITE GOOD.\n\nIf you are a true sea food lover then this place should be in your agenda"")('Rated 5.0''RATED\n I love the food out here. Just wow. So simple and yet so delicious. Some of the dishes like the Mutton StewToms Special Chicken Curry and Pepper Mutton Fry are mouth watering. Additionally the service is excellentvery polite and helpful staff.')('Rated 5.0'especially made better by how hot each dish was. Scrumptious!')15
9833The Elanza Hotel, 88/2 Richmond Road, Richmond Road, BangaloreCafe @ ElanzaNoNo3.7 /5145+91 8861300580\n080 22233666Richmond RoadCasual Dining, CafeBreakfast Buffet, Omelette, Lunch Buffet, PastaChinese, North Indian, Cafe1,000NaN11
135('Rated 5.0''RATED\n Within a very short time got a tasty nati style foodÃ\x83Â\x83Ã\x82Â\x83Ã\x83Â\x82Ã\x82°Ã\x83Â\x83Ã\x82Â\x82Ã\x83Â\x82Ã\x82Â\x9fÃ\x83Â\x83Ã\x82Â\x82Ã\x83Â\x82Ã\x82Â\x91Ã\x83Â\x83Ã\x82Â\x82Ã\x83Â\x82Ã\x82Â\x8c Authentic coastal taste. Ã\x83Â\x83Ã\x82Â\x83Ã\x83Â\x82Ã\x82°Ã\x83Â\x83Ã\x82Â\x82Ã\x83Â\x82Ã\x82Â\x9fÃ\x83Â\x83Ã\x82Â\x82Ã\x83Â\x82Ã\x82Â\x98Ã\x83Â\x83Ã\x82Â\x82Ã\x83Â\x82Ã\x82Â\x8a #loved it @Halli Mane Donne Biriyani. #ennomme taste madlebekuÃ\x83Â\x83Ã\x82Â\x83Ã\x83Â\x82Ã\x82°Ã\x83Â\x83Ã\x82Â\x82Ã\x83Â\x82Ã\x82Â\x9fÃ\x83Â\x83Ã\x82Â\x82Ã\x83Â\x82Ã\x82Â\x98Ã\x83Â\x83Ã\x82Â\x82Ã\x83Â\x82Ã\x82Â\x8bÃ\x83Â\x83Ã\x82Â\x83Ã\x83Â\x82Ã\x82°Ã\x83Â\x83Ã\x82Â\x82Ã\x83Â\x82Ã\x82Â\x9fÃ\x83Â\x83Ã\x82Â\x82Ã\x83Â\x82Ã\x82Â\x98Ã\x83Â\x83Ã\x82Â\x82Ã\x83Â\x82Ã\x82Â\x8b')('Rated 1.0''RATED\n food Was not fresh and it was smelling like old stuff. .')('Rated 4.0''RATED\n he is so good')('Rated 5.0'""RATED\n Good and tasty food .I'll Order food this restaurant again and again superb\nFast and furious Delivary Nice job Dlvry boys thank u so much for zomato and hallimane restaurant............................"")('Rated 5.0'NaNNaNNaNNaN10
114('Rated 5.0'""RATED\n New kid on the block is 'bang on' right now with food n service. Hope they continue like this. Happy to know that it's same chain from Delhi which owns MamagotoMr. Mamagoto and Dhaba from Claridge's. Tried Jodhpuri JalapenoMustard fishand Prawn green curry was awesome. Tried LIIT and Forest Fox... place is on a higher side but looking at decor n locationthey can't operate as low budget venue. Recommended!!!"")('Rated 4.0''RATED\n Being little generous hereliked the service part..\nMaybe its new and hence extra nice service. Food is decently nice. Ordered momosdaal soupveggie platter. Carrot halwa can be worked upon.. needed improvement. ambiance is nicem sure would be much better at night..')best weekend party ever had9
580100 Feet Road, Next to Karnataka Bank, Near BDA Complex, 3rd Block, Koramangala 3rd Block, BangaloreMr. Beans - Home CafeYesYes4.2 /52714080 49653320Koramangala 3rd BlockCafeCoffee, Pasta, Salads, Tiramisu, Pizza, Waffles, PancakesCafe, Continental, Italian1,000NaN9
7746Brigade Gateway, 26/1 DR. Rajkumar Road, Malleshwaram, BangaloreHouse Of CandyYesNoNaN0NaNMalleshwaramConfectioneryNaNDesserts200Delivery9
7902Delivery OnlyJiyo NaturalNoNo3.6/514+91 9686312345South BangaloreDeliveryNaNHealthy Food, North Indian300Delivery9